ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1808.04355
  4. Cited By
Large-Scale Study of Curiosity-Driven Learning

Large-Scale Study of Curiosity-Driven Learning

13 August 2018
Yuri Burda
Harrison Edwards
Deepak Pathak
Amos Storkey
Trevor Darrell
Alexei A. Efros
    LRM
ArXiv (abs)PDFHTML

Papers citing "Large-Scale Study of Curiosity-Driven Learning"

28 / 28 papers shown
Title
Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration
Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration
Xingrui Yu
Zhenglin Wan
David Mark Bossens
Yueming Lyu
Qing Guo
Ivor W. Tsang
444
0
0
11 Nov 2024
Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning
Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning
Haozhe Ma
Zhengding Luo
Thanh Vinh Vo
Kuankuan Sima
Tze-Yun Leong
91
9
0
06 Aug 2024
Random Latent Exploration for Deep Reinforcement Learning
Random Latent Exploration for Deep Reinforcement Learning
Srinath Mahankali
Zhang-Wei Hong
Ayush Sekhari
Alexander Rakhlin
Pulkit Agrawal
228
3
0
18 Jul 2024
Safety through feedback in Constrained RL
Safety through feedback in Constrained RL
Shashank Reddy Chirra
Pradeep Varakantham
P. Paruchuri
OffRL
77
1
0
28 Jun 2024
RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learning
RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learning
Mingqi Yuan
Roger Creus Castanyer
Bo Li
Xin Jin
Glen Berseth
Wenjun Zeng
158
0
0
29 May 2024
Behind the Myth of Exploration in Policy Gradients
Behind the Myth of Exploration in Policy Gradients
Adrien Bolland
Gaspard Lambrechts
Damien Ernst
86
0
0
31 Jan 2024
Life-inspired Interoceptive Artificial Intelligence for Autonomous and Adaptive Agents
Life-inspired Interoceptive Artificial Intelligence for Autonomous and Adaptive Agents
Sungwoo Lee
Younghyun Oh
Hyunhoe An
Hyebhin Yoon
K. Friston
Seok Jun Hong
Choong-Wan Woo
AI4CE
98
1
0
12 Sep 2023
Zero-Shot Visual Imitation
Zero-Shot Visual Imitation
Deepak Pathak
Parsa Mahmoudieh
Guanghao Luo
Pulkit Agrawal
Dian Chen
Yide Shentu
Evan Shelhamer
Jitendra Malik
Alexei A. Efros
Trevor Darrell
LM&Ro
114
301
0
23 Apr 2018
Computational Theories of Curiosity-Driven Learning
Computational Theories of Curiosity-Driven Learning
Pierre-Yves Oudeyer
65
65
0
28 Feb 2018
Diversity is All You Need: Learning Skills without a Reward Function
Diversity is All You Need: Learning Skills without a Reward Function
Benjamin Eysenbach
Abhishek Gupta
Julian Ibarz
Sergey Levine
99
1,088
0
16 Feb 2018
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
517
19,237
0
20 Jul 2017
Noisy Networks for Exploration
Noisy Networks for Exploration
Meire Fortunato
M. G. Azar
Bilal Piot
Jacob Menick
Ian Osband
...
Rémi Munos
Demis Hassabis
Olivier Pietquin
Charles Blundell
Shane Legg
79
897
0
30 Jun 2017
Parameter Space Noise for Exploration
Parameter Space Noise for Exploration
Matthias Plappert
Rein Houthooft
Prafulla Dhariwal
Szymon Sidor
Richard Y. Chen
Xi Chen
Tamim Asfour
Pieter Abbeel
Marcin Andrychowicz
57
597
0
06 Jun 2017
Curiosity-driven Exploration by Self-supervised Prediction
Curiosity-driven Exploration by Self-supervised Prediction
Deepak Pathak
Pulkit Agrawal
Alexei A. Efros
Trevor Darrell
LRMSSL
113
2,439
0
15 May 2017
Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play
Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play
Sainbayar Sukhbaatar
Zeming Lin
Ilya Kostrikov
Gabriel Synnaeve
Arthur Szlam
Rob Fergus
SSL
67
338
0
15 Mar 2017
Surprise-Based Intrinsic Motivation for Deep Reinforcement Learning
Surprise-Based Intrinsic Motivation for Deep Reinforcement Learning
Joshua Achiam
S. Shankar Sastry
71
237
0
06 Mar 2017
Count-Based Exploration with Neural Density Models
Count-Based Exploration with Neural Density Models
Georg Ostrovski
Marc G. Bellemare
Aaron van den Oord
Rémi Munos
84
625
0
03 Mar 2017
EX2: Exploration with Exemplar Models for Deep Reinforcement Learning
EX2: Exploration with Exemplar Models for Deep Reinforcement Learning
Justin Fu
John D. Co-Reyes
Sergey Levine
OffRL
58
155
0
03 Mar 2017
Variational Intrinsic Control
Variational Intrinsic Control
Karol Gregor
Danilo Jimenez Rezende
Daan Wierstra
DRLOffRL
80
428
0
22 Nov 2016
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement
  Learning
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning
Haoran Tang
Rein Houthooft
Davis Foote
Adam Stooke
Xi Chen
Yan Duan
John Schulman
F. Turck
Pieter Abbeel
OffRL
94
775
0
15 Nov 2016
Unifying Count-Based Exploration and Intrinsic Motivation
Unifying Count-Based Exploration and Intrinsic Motivation
Marc G. Bellemare
S. Srinivasan
Georg Ostrovski
Tom Schaul
D. Saxton
Rémi Munos
176
1,483
0
06 Jun 2016
Deep Exploration via Bootstrapped DQN
Deep Exploration via Bootstrapped DQN
Ian Osband
Charles Blundell
Alexander Pritzel
Benjamin Van Roy
121
1,314
0
15 Feb 2016
Variational Information Maximisation for Intrinsically Motivated
  Reinforcement Learning
Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning
S. Mohamed
Danilo Jimenez Rezende
DRLSSL
99
402
0
29 Sep 2015
Incentivizing Exploration In Reinforcement Learning With Deep Predictive
  Models
Incentivizing Exploration In Reinforcement Learning With Deep Predictive Models
Bradly C. Stadie
Sergey Levine
Pieter Abbeel
92
505
0
03 Jul 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
463
43,328
0
11 Feb 2015
Deep Fried Convnets
Deep Fried Convnets
Zichao Yang
Marcin Moczulski
Misha Denil
Nando de Freitas
Alex Smola
Le Song
Ziyu Wang
102
267
0
22 Dec 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
452
16,929
0
20 Dec 2013
The Arcade Learning Environment: An Evaluation Platform for General
  Agents
The Arcade Learning Environment: An Evaluation Platform for General Agents
Marc G. Bellemare
Yavar Naddaf
J. Veness
Michael Bowling
120
3,006
0
19 Jul 2012
1